Data compression for energy efficient IoT solutions
Date Issued
2017-11-21
Author(s)
Risteska Stojkoska, Biljana
Nikolovski, Zoran
Abstract
Energy is the most important resource in
state-of-the-art Internet of Things solutions. There are a lot of
concepts and techniques dedicated to save energy, mainly
focused to reduce transmission, since the energy used for
preprocessing (encoding) is incomparable smaller than energy
used for broadcasting. If applications do not require real-time
measurements, data compression is one solution to energy
saving problem. The goal of this paper was to develop new
coding scheme for delta compression, that can be used for
efficient data compression of temporally correlated data, such
as temperature measurements coming from different smart
devices. We proved that our coding scheme can achieve up to
85% energy saving. Compared to other coding techniques, our
scheme has greater compression ratio and lower memory
requirements.
state-of-the-art Internet of Things solutions. There are a lot of
concepts and techniques dedicated to save energy, mainly
focused to reduce transmission, since the energy used for
preprocessing (encoding) is incomparable smaller than energy
used for broadcasting. If applications do not require real-time
measurements, data compression is one solution to energy
saving problem. The goal of this paper was to develop new
coding scheme for delta compression, that can be used for
efficient data compression of temporally correlated data, such
as temperature measurements coming from different smart
devices. We proved that our coding scheme can achieve up to
85% energy saving. Compared to other coding techniques, our
scheme has greater compression ratio and lower memory
requirements.
Subjects
File(s)![Thumbnail Image]()
Loading...
Name
PID5118401-with-cover-page-v2.pdf
Size
599.42 KB
Format
Adobe PDF
Checksum
(MD5):e8ed2cfbee2803d7f2ee77c2a5d372f1